PhD - Develop Cutting-Edge Hybrid Models for Bosch Products

Accurate models are critical for designing and calibrating control functions across a wide range of Bosch products. While physical equations provide a foundation, modeling complex systems requires a more sophisticated approach. This PhD position offers the opportunity to develop and implement innovative hybrid model structures, combining physical knowledge with data-driven techniques to achieve exceptional accuracy with minimal calibration effort. The initial focus will be on a joint electric drive and mechanical drivetrain system, a core technology in Bosch products like E-Bikes, automotive components and power tools. By mastering efficient hybrid model identification and control techniques, you will directly contribute to Bosch's ability to deliver consistently high-performing and accurate products, ensuring superior performance across all operating conditions and production samples. This exciting project offers the chance to collaborate with machine learning experts at our advanced research headquarters in Renningen, gaining valuable experience and contributing to a strategic area of Bosch innovation.